Directories
Holloway Hall

Directories

Operator: 410-543-6000

Lee, Misuk

Assistant Professor, Information and Decision Sciences
Perdue Hall (PH) 334
410-677-5048 or ext 75048
mxleesalisburyedu



Courses  []

2014 Fall

  • INFO 281-001 INTERMEDIATE BUSI STATISTICS
    Study of modern statistical techniques with emphasis on data analysis in a computer assisted environment. Topics include analysis of variance and experimental design, categorical data analysis, regression analysis, model building, time series analysis and index numbers. Prerequisites: INFO 111, C or better in MATH 155, C or better in MATH 160 or 201. Three hours per week.
  • INFO 281-002 INTERMEDIATE BUSI STATISTICS
    Study of modern statistical techniques with emphasis on data analysis in a computer assisted environment. Topics include analysis of variance and experimental design, categorical data analysis, regression analysis, model building, time series analysis and index numbers. Prerequisites: INFO 111, C or better in MATH 155, C or better in MATH 160 or 201. Three hours per week.
  • INFO 281-005 INTERMEDIATE BUSI STATISTICS
    Study of modern statistical techniques with emphasis on data analysis in a computer assisted environment. Topics include analysis of variance and experimental design, categorical data analysis, regression analysis, model building, time series analysis and index numbers. Prerequisites: INFO 111, C or better in MATH 155, C or better in MATH 160 or 201. Three hours per week.

2015 Spring

  • INFO 281-001 INTERMEDIATE BUSI STATISTICS
    Study of modern statistical techniques with emphasis on data analysis in a computer assisted environment. Topics include analysis of variance and experimental design, categorical data analysis, regression analysis, model building, time series analysis and index numbers. Prerequisites: INFO 111, C or better in MATH 155, C or better in MATH 160 or 201. Three hours per week.
  • INFO 281-002 INTERMEDIATE BUSI STATISTICS
    Study of modern statistical techniques with emphasis on data analysis in a computer assisted environment. Topics include analysis of variance and experimental design, categorical data analysis, regression analysis, model building, time series analysis and index numbers. Prerequisites: INFO 111, C or better in MATH 155, C or better in MATH 160 or 201. Three hours per week.
  • INFO 338-001 SPECIAL TOPICS
    Advanced study of varying information systems topics based on students’ interests and needs. May be repeated once for credit under different subtitle. May substitute for an INFO major elective. Prerequisite: Varies by topic. Three hours per week.

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